| Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration M Kull, M Perello Nieto, M Kängsepp, T Silva Filho, H Song, P Flach Advances in neural information processing systems 32, 2019 | 266 | 2019 |
| VREX: an open-source toolbox for creating 3D virtual reality experiments M Vasser, M Kängsepp, M Magomedkerimov, K Kilvits, V Stafinjak, ... BMC psychology 5 (1), 1-8, 2017 | 32 | 2017 |
| Telmo de Menezes e Silva Filho, Hao Song, and Peter A. Flach. Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration M Kull, M Perelló-Nieto, M Kängsepp Conference on Neural Information Processing Systems (NeurIPS) 53, 54-58, 2019 | 12 | 2019 |
| Correlated daily time series and forecasting in the M4 competition A Ingel, N Shahroudi, M Kängsepp, A Tättar, V Komisarenko, M Kull International Journal of Forecasting 36 (1), 121-128, 2020 | 8 | 2020 |
| TS Filho, H M Kull, M Perello-Nieto, M Kängsepp Song, and P. Flach,“Beyond temperature scaling: Obtaining well-calibrated …, 2019 | 7 | 2019 |
| Filho, TS; Song, H.; and Flach M Kull, M Perello-Nieto, M Kängsepp Beyond temperature scaling: Obtaining well-calibrated multiclass …, 0 | 7 | |
| Virtual reality toolbox for experimental psychology—Research demo M Vasser, M Kängsepp, K Kilvits, T Kivisik, J Aru 2015 IEEE virtual reality (VR), 361-362, 2015 | 5 | 2015 |
| Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View M Kängsepp, M Kull arXiv preprint arXiv:2211.04340, 2022 | 2 | 2022 |
| Virtual Reality Environment for Studying Change Blindness M Kängsepp Bachelor's thesis. Institute of Computer Science, University of Tartu, 2015 | 2 | 2015 |
| On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers M Kängsepp, K Valk, M Kull arXiv preprint arXiv:2203.08958, 2022 | | 2022 |
| Calibration of Convolutional Neural Networks M Kängsepp | | |
